Role:AI Native Software Engineer Location: London Role Type: Contract and Permanent Work Mode: Hybrid(2 or 3 days onsite) and 50-75% travel in UK
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Seeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows, integrating AI platforms, and delivering scalable cloud-native solutions.
Responsibilities AI Agent Engineering
Design and implement AI agents, including:
Retrieval (RAG)
Orchestration workflows
Tool/function invocation
Policy-based routing
Build evaluation frameworks for accuracy, latency, and reliability
Implement observability and monitoring for agent lifecycle
AI Platform Integration
Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models)
Build abstraction layers to support multi-model and multi-provider architectures
Optimize model usage for performance, cost, and latency
Cloud-Native Development
Develop scalable services using:
Microservices architecture
Containers (Docker, Kubernetes)
Serverless and event-driven patterns
Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm)
Ensure production readiness, logging, monitoring, and fault tolerance
Application Development
Build and deploy AI-powered applications aligned to business workflows
Integrate AI systems into existing enterprise platforms and APIs
Develop backend services and APIs supporting agent workflows
Testing & Performance
Define and execute test strategies for AI systems
Measure system performance (latency, throughput, accuracy, cost)
Debug and optimize production systems
Required Skills & Experience
810+ years of software engineering experience
Strong experience with cloud-native systems (APIs, microservices, containers, serverless)
Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration)
Proficiency in Python, Java, or similar backend languages
Experience with:
CI/CD pipelines
Infrastructure as code
Monitoring and observability xxuwjjq tools
Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)
Preferred Experience
Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI)
Experience designing multi-agent or distributed AI systems
Familiarity with enterprise-scale system integration
Experience optimizing AI workloads for cost and performance
Scope & Expectations (Contractor-Specific)
100% hands-on engineering role (no people management)
Deliver production-quality code and deployments
Work within existing architecture and engineering standards
Collaborate with client and internal engineering teams as needed